Titre :

Classification of evoked potentials by Pearson's correlation in a brain-computer interface

Auteur(s) :

Cabestaing, Francois [Auteur correspondant]
LAGIS-SI
Vaughan, Theresa M [Auteur]
Laboratory of Neural Injury and Repair
Mcfarland, Dennis J [Auteur]
Laboratory of Neural Injury and Repair
Wolpaw, Jonathan R [Auteur]
Laboratory of Neural Injury and Repair

Titre de la revue :

AMSE, Modelling C Automatic Control (theory and applications)

Pagination :

156-166

Date de publication :

2007-02-01

Mot(s)-clé(s) en anglais :

Brain-computer interface
BCI
linear classifier
evoked potentials
P300

Discipline(s) HAL :

Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]

Résumé en anglais : [en]

In this paper, we describe and evaluate the performance of a linear classifier learning technique for use in a brain-computer interface. Electroencephalogram (EEG) signals acquired from individual subjets are analyzed with ...
Lire la suite >In this paper, we describe and evaluate the performance of a linear classifier learning technique for use in a brain-computer interface. Electroencephalogram (EEG) signals acquired from individual subjets are analyzed with this technique in order to detect responses to visual stimuli. Signal processing and classification are used for implementing a palliative communication system which allows the individual to spell words. Performance with this technique is evaluated on data collected from eight individuals.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL